{"title":"Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction","authors":"Ruchika Malhotra, S. Meena","doi":"10.1016/j.jocs.2024.102230","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":509638,"journal":{"name":"Journal of Computational Science","volume":"23 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jocs.2024.102230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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